NONPARAMETRIC STATISTICS FOR ASSESSMENT OF MINERAL PRODUCTION FEATURES

Abstract

At the present stage of technical development all the complex system of industrial production and particularly the coal industry, requires automating the entire process including the work of mining and transport equipment, which can not be done without a detailed mathematical description of specific phenomena characterizing the specific production. Therefore, for the first time to solve the problem of managing complex technology, multifactorial systems, provided the use of non-parametric statistics, which are in the national literature is not adequately reflected. Nevertheless, it is such mathematical approaches allow to perform a correct forecast of the phenomena in question beyond the available experimental data sufficient to solve the most practical problems with accuracy, especially in those cases where the number of the data is relatively small.

Authors and Affiliations

Б. Б. Кобылянский, А. Г. Мнухин

Keywords

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  • EP ID EP577460
  • DOI -
  • Views 49
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How To Cite

Б. Б. Кобылянский, А. Г. Мнухин (2018). NONPARAMETRIC STATISTICS FOR ASSESSMENT OF MINERAL PRODUCTION FEATURES. Вчені записки Таврійського національного університету імені В. І. Вернадського. Серія: Технічні науки, 29(2), 237-244. https://europub.co.uk/articles/-A-577460